LEADER 01110cam0 22002773 450 001 SOB020150 005 20200506070735.0 100 $a20040211d2002 |||||ita|0103 ba 101 $aita 102 $aIT 200 1 $a<>valutazione della ricerca in Italia$erepertorio di fonti Web. Conferenza dei Rettori delle Università Italiane, Roma luglio 2002$findagine a cura di Francesca Rossi$gEmanuela Stefani 210 $aRoma$cCRUI$d2002 215 $a222 p.$d24 cm$e1 CD-ROM 702 1$aROSSI, Francesca$3AF00022904$4070 702 1$aSTEFANI, Emanuela$3AF00022905$4070 801 0$aIT$bUNISOB$c20200506$gRICA 850 $aUNISOB 852 $aUNISOB$j500$m112668 852 $aUNISOB$j500|CD$m113688. 912 $aSOB020150 940 $aM 102 Monografia moderna SBN 941 $aM 957 $a500$b000549$gSI$d112668$rdono$1bethb$2UNISOB$3UNISOB$420161027095642.0$520200506070735.0$6bethb$f1 volume 957 $a500|CD$b000002$gCON$d113688.$rdono$1bethb$2UNISOB$3UNISOB$420161027095706.0$520161028072109.0$6bethb$f1 CD 996 $aValutazione della ricerca in Italia$91515937 997 $aUNISOB LEADER 03379uam 2200313 a 450 001 9910467485203321 005 20210112160838.0 035 $a(CKB)4110000000007606 035 $a(CaSebORM)9781788479042 035 $a(MiAaPQ)EBC5259456 035 $a(EXLCZ)994110000000007606 100 $a20020218d2018 uy 101 0 $aeng 135 $aurcn| ||||| 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 10$aScala Machine Learning Projects$b[electronic resource] /$fKarim, Rezaul 205 $a1st edition 210 1$cPackt Publishing,$d2018. 215 $a1 online resource (470 pages) 311 $a1-78847-904-1 330 $aPowerful smart applications using deep learning algorithms to dominate numerical computing, deep learning, and functional programming. About This Book Explore machine learning techniques with prominent open source Scala libraries such as Spark ML, H2O, MXNet, Zeppelin, and DeepLearning4j Solve real-world machine learning problems by delving complex numerical computing with Scala functional programming in a scalable and faster way Cover all key aspects such as collection, storing, processing, analyzing, and evaluation required to build and deploy machine models on computing clusters using Scala Play framework. Who This Book Is For If you want to leverage the power of both Scala and Spark to make sense of Big Data, then this book is for you. If you are well versed with machine learning concepts and wants to expand your knowledge by delving into the practical implementation using the power of Scala, then this book is what you need! Strong understanding of Scala Programming language is recommended. Basic familiarity with machine Learning techniques will be more helpful. What You Will Learn Apply advanced regression techniques to boost the performance of predictive models Use different classification algorithms for business analytics Generate trading strategies for Bitcoin and stock trading using ensemble techniques Train Deep Neural Networks (DNN) using H2O and Spark ML Utilize NLP to build scalable machine learning models Learn how to apply reinforcement learning algorithms such as Q-learning for developing ML application Learn how to use autoencoders to develop a fraud detection application Implement LSTM and CNN models using DeepLearning4j and MXNet In Detail Machine learning has had a huge impact on academia and industry by turning data into actionable information. Scala has seen a steady rise in adoption over the past few years, especially in the fields of data science and analytics. This book is for data scientists, data engineers, and deep learning enthusiasts who have a background in complex numerical computing and want to know more hands-on machine learning application development. If you're well versed in machine learning concepts and want to expand your knowledge by delving into the practical implementation of these concepts using the power of Scala, then this book is what you need! Through 11 end-to-end projects, you will be acquainted with popular machine learning libraries such as Spark ML, H2O, DeepLearning4j, and MXNet. At the end,... 608 $aElectronic books. 700 $aKarim$b Rezaul$0851361 906 $aBOOK 912 $a9910467485203321 996 $aScala Machine Learning Projects$92034417 997 $aUNINA